A new method for identifying the central nodes in fuzzy cognitive maps using consensus centrality measure

MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty

Volumn , Issue , 2011, Pages 1084-1091

  Obiedat, Mamoon ^a   Samarasinghe, Sandhya ^a   Strickert, Graham ^b  

^a LINCOLN UNIVERSITY   (New Zealand)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

2 tuple fuzzy linguistic representation and fusion models; Central nodes; Centrality measures; Fuzzy Cognitive Maps

Indexed keywords

2-TUPLE; 2-TUPLE MODEL; AGGREGATED VALUES; BETWEENNESS; CENTRAL NODES; CENTRALITY MEASURES; COMMUNICATION CONTROL; DECISION MAKERS; DEGREE CENTRALITY; DEGREE MEASURE; FOCAL POINTS; FUZZY COGNITIVE MAP; FUZZY FUSION; FUZZY LINGUISTICS; GRANULARITY OF UNCERTAINTY; LINGUISTIC TERMS; ROBUST MODELS; WEIGHTED DIRECTED GRAPH;

AGGREGATES; DECISION MAKING; DIRECTED GRAPHS; FUZZY SYSTEMS; KNOWLEDGE REPRESENTATION; LARGE SCALE SYSTEMS; LINGUISTICS;

FUZZY RULES;

EID: 84858841523     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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